All paper pages
28734 retained paper pages. Page 90 of 288.
- Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi · 2019
- Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations
Hui Fang, Danning Zhang, Yiheng Shu, Guibing Guo · 2019
- Are commercially implemented adaptive cruise control systems string stable?
George Gunter, Derek Gloudemans, Raphael E. Stern, Sean McQuade, Rahul Bhadani, Matt Bunting, Maria Laura Delle Monache, Roman Lysecky, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Daniel B. Work · 2019
- Counterexamples to Hedetniemi's conjecture
Yaroslav Shitov · 2019
- Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, Aleksander Madry · 2019
- Principles of Information Storage in Small-Molecule Mixtures
Jacob K. Rosenstein, Christopher Rose, Sherief Reda, Peter M. Weber, Eunsuk Kim, Jason Sello, Joseph Geiser, Eamonn Kennedy, Christopher Arcadia, Amanda Dombroski, Kady Oakley, Shui Ling Chen, Hokchhay Tann, Brenda M. Rubenstein · 2019
- Nonlinear Approximation and (Deep) ReLU Networks
I. Daubechies, R. DeVore, S. Foucart, B. Hanin, G. Petrova · 2019
- Searching for MobileNetV3
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam · 2019
- MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, Colin Raffel · 2019
- Understanding extreme quasar optical variability with CRTS: II. Changing-state quasars
Matthew J. Graham, Nicholas P. Ross, Daniel Stern, rew J. Drake, Barry McKernan, K. E. Saavik Ford, S. G. Djorgovski, Ashish Mahabal, Eilat Glikman, Steve Larson, Eric Christensen · 2019
- MASS: Masked Sequence to Sequence Pre-training for Language Generation
Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu · 2019
- Learning to Interpret Satellite Images in Global Scale Using Wikipedia
Burak Uzkent, Evan Sheehan, Chenlin Meng, Zhongyi Tang, Marshall Burke, David Lobell, Stefano Ermon · 2019
- Option Pricing using Quantum Computers
Nikitas Stamatopoulos, Daniel J. Egger, Yue Sun, Christa Zoufal, Raban Iten, Ning Shen, Stefan Woerner · 2019
- The Alt-Right and Global Information Warfare
Emmi Bevensee, Alexander Reid Ross · 2019
- An Analysis of Pre-installed Android Software
Julien Gamba, Mohammed Rashed, Abbas Razaghpanah, Juan Tapiador, Narseo Vallina-Rodriguez · 2019
- Tasks, Techniques, and Tools for Genomic Data Visualization
Sabrina Nusrat, Theresa Harbig, Nils Gehlenborg · 2019
- From Ansätze to Z-gates: a NASA View of Quantum Computing
Eleanor G. Rieffel, Stuart Hadfield, Tad Hogg, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Bryan O'Gorman, Eugeniu Plamadeala, Norm M. Tubman, Davide Venturelli, Walter Vinci, Zhihui Wang, Max Wilson, Filip Wudarski, Rupak Biswas · 2019
- Quantum interference between light sources separated by 150 million kilometers
Yu-Hao Deng, Hui Wang, Xing Ding, Z. -C. Duan, Jian Qin, M. -C. Chen, Yu He, Yu-Ming He, Jin-Peng Li, Yu-Huai Li, Li-Chao Peng, E. S. Matekole, Tim Byrnes, C. Schneider, M. Kamp, Da-Wei Wang, Jonathan P. Dowling, Sven Höfling, Chao-Yang Lu, Marlan O. Scully, Jian-Wei Pan · 2019
- Generalized Dilation Neural Networks
Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung · 2019
- Meta-learning of Sequential Strategies
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alex Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin Miller, Mohammad Azar, Ian Osband, Neil Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew Botvinick, Shane Legg · 2019
- The 'Delayed Choice Quantum Eraser' Neither Erases Nor Delays
R. E. Kastner · 2019
- Online reviews can predict long-term returns of individual stocks
Junran Wu, Ke Xu, Jichang Zhao · 2019
- Handheld Multi-Frame Super-Resolution
Bartlomiej Wronski, Ignacio Garcia-Dorado, Manfred Ernst, Damien Kelly, Michael Krainin, Chia-Kai Liang, Marc Levoy, Peyman Milanfar · 2019
- Learning to Evolve
Jan Schuchardt, Vladimir Golkov, Daniel Cremers · 2019
- Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang · 2019
- 1D Convolutional Neural Networks and Applications: A Survey
Serkan Kiranyaz, Onur Avci, Osama Abdeljaber, Turker Ince, Moncef Gabbouj, Daniel J. Inman · 2019
- A Topological Analysis of Communication Channels for Knowledge Sharing in Contemporary GitHub Projects
Jirateep Tantisuwankul, Yusuf Sulistyo Nugroho, Raula Gaikovina Kula, Hideaki Hata, Arnon Rungsawang, Pattara Leelaprute, Kenichi Matsumoto · 2019
- What Do Single-view 3D Reconstruction Networks Learn?
Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox · 2019
- Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks
Victor Schmidt, Alexandra Luccioni, S. Karthik Mukkavilli, Narmada Balasooriya, Kris Sankaran, Jennifer Chayes, Yoshua Bengio · 2019
- When Deep Learning Met Code Search
Jose Cambronero, Hongyu Li, Seohyun Kim, Koushik Sen, Satish Chandra · 2019
- Driving upside-down in a circular track
Fernando F. Dall'Agnol, Lucas B. de Morais, Marcelo D. Alloy · 2019
- Collecting 16K archived web pages from 17 public web archives
Mohamed Aturban, Michael L. Nelson, Michele C. Weigle, Martin Klein, Herbert Van de Sompel · 2019
- Open-source RANs in practice: an over-the-air deployment for 5G MEC
Juuso Haavisto, Muhammad Arif, Lauri Lovén, Teemu Leppänen, Jukka Riekki · 2019
- Integrating Artificial Intelligence into Weapon Systems
Philip Feldman, Aaron Dant, Aaron Massey · 2019
- Densifying Assumed-sparse Tensors: Improving Memory Efficiency and MPI Collective Performance during Tensor Accumulation for Parallelized Training of Neural Machine Translation Models
Derya Cavdar, Valeriu Codreanu, Can Karakus, John A. Lockman, Damian Podareanu, Vikram Saletore, Alexander Sergeev, Don D. Smith, Victor Suthichai, Quy Ta, Srinivas Varadharajan, Lucas A. Wilson, Rengan Xu, Pei Yang · 2019
- A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers
Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David Mcalpine, Yu Zhang · 2019
- Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy
Patrik Christen, Olivier Del Fabbro · 2019
- Language-Conditioned Graph Networks for Relational Reasoning
Ronghang Hu, Anna Rohrbach, Trevor Darrell, Kate Saenko · 2019
- The role of pawnshops in risk coping in early twentieth-century Japan
Tatsuki Inoue · 2019
- Understanding eWhoring
Alice Hutchings, Sergio Pastrana · 2019
- Nonvolatile Memory Cell Based on Memristor Emulator
Santosh Parajuli, Ram Kaji Budhathoki, Hyongsuk Kim · 2019
- FPGA-based Binocular Image Feature Extraction and Matching System
Qi Ni, Fei Wang, Ziwei Zhao, Peng Gao · 2019
- Tile Pattern KL-Divergence for Analysing and Evolving Game Levels
Simon M. Lucas, Vanessa Volz · 2019
- Quantum Simulation Logic, Oracles, and the Quantum Advantage
Niklas Johansson, Jan-Åke Larsson · 2019
- Smartwatch games: Encouraging privacy-protective behaviour in a longitudinal study
Meredydd Williams, Jason R. C. Nurse, Sadie Creese · 2019
- Privacy and Security Risks of "Not-a-Virus" Bundled Adware: The Wajam Case
Xavier de Carné de Carnavalet, Mohammad Mannan · 2019
- Robustness Analysis of Face Obscuration
Hanxiang Hao, David Güera, János Horváth, Amy R. Reibman, Edward J. Delp · 2019
- Learning Scalable and Precise Representation of Program Semantics
Ke Wang · 2019
- TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture
Gorker Alp Malazgirt, Osman S. Unsal, Adrian Cristal Kestelman · 2019
- Machine Learning at Microsoft with ML .NET
Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupre, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Sarthak Shah, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu · 2019
- Exploring Interactions with Voice-Controlled TV
Sarah McRoberts, Joshua Wissbroecker, Ruotong Wang, F. Maxwell Harper · 2019
- Online Normalization for Training Neural Networks
Vitaliy Chiley, Ilya Sharapov, Atli Kosson, Urs Koster, Ryan Reece, Sofia Samaniego de la Fuente, Vishal Subbiah, Michael James · 2019
- BERT Rediscovers the Classical NLP Pipeline
Ian Tenney, Dipanjan Das, Ellie Pavlick · 2019
- HolPy: Interactive Theorem Proving in Python
Bohua Zhan · 2019
- Simitate: A Hybrid Imitation Learning Benchmark
Raphael Memmesheimer, Ivanna Mykhalchyshyna, Viktor Seib, Dietrich Paulus · 2019
- Computational Socioeconomics
Jian Gao, Yi-Cheng Zhang, Tao Zhou · 2019
- GMNN: Graph Markov Neural Networks
Meng Qu, Yoshua Bengio, Jian Tang · 2019
- Energy of the $^{229}$Th nuclear clock transition
Benedict Seiferle, Lars von der Wense, Pavlo V. Bilous, Ines Amersdorffer, Christoph Lemell, Florian Libisch, Simon Stellmer, Thorsten Schumm, Christoph E. Düllmann, Adriana Pálffy, Peter G. Thirolf · 2019
- What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney, Patrick Xia, Berlin Chen, Alex Wang, Adam Poliak, R Thomas McCoy, Najoung Kim, Benjamin Van Durme, Samuel R. Bowman, Dipanjan Das, Ellie Pavlick · 2019
- An interdisciplinary survey of network similarity methods
Emily Evans, Marissa Graham · 2019
- Effects Without Monads: Non-determinism -- Back to the Meta Language
Oleg Kiselyov · 2019
- Emergence of Exploitation as Symmetry Breaking in Iterated Prisoner's Dilemma
Yuma Fujimoto, Kunihiko Kaneko · 2019
- Inferring Javascript types using Graph Neural Networks
Jessica Schrouff, Kai Wohlfahrt, Bruno Marnette, Liam Atkinson · 2019
- Deep Compressed Sensing
Yan Wu, Mihaela Rosca, Timothy Lillicrap · 2019
- Sliced Score Matching: A Scalable Approach to Density and Score Estimation
Yang Song, Sahaj Garg, Jiaxin Shi, Stefano Ermon · 2019
- Parallel decompression of gzip-compressed files and random access to DNA sequences
Maël Kerbiriou, Rayan Chikhi · 2019
- Quantum Computing: An Overview Across the System Stack
Salonik Resch, Ulya R. Karpuzcu · 2019
- Finding Rats in Cats: Detecting Stealthy Attacks using Group Anomaly Detection
Aditya Kuppa, Slawomir Grzonkowski, Muhammad Rizwan Asghar, Nhien-An Le-Khac · 2019
- Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem
Christian Schroeder de Witt, Thomas Hornigold · 2019
- A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL
Yonghae Kim, Hyesoon Kim · 2019
- Adaptive Attention Span in Transformers
Sainbayar Sukhbaatar, Edouard Grave, Piotr Bojanowski, Armand Joulin · 2019
- HellaSwag: Can a Machine Really Finish Your Sentence?
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi · 2019
- PaperRobot: Incremental Draft Generation of Scientific Ideas
Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan · 2019
- Snapshot-Free, Transparent, and Robust Memory Reclamation for Lock-Free Data Structures
Ruslan Nikolaev, Binoy Ravindran · 2019
- Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh · 2019
- Novel high efficiency quadruple junction solar cell with current matching and quantum efficiency simulations
Mohammad Jobayer Hossain, Bibek Tiwari, Indranil Bhattacharya · 2019
- Concepts for direct frequency-comb spectroscopy of $^{229\text{m}}$Th and an internal-conversion-based solid-state nuclear clock
Lars von der Wense, Chuankun Zhang · 2019
- A Bayesian Approach to Robust Reinforcement Learning
Esther Derman, Daniel Mankowitz, Timothy Mann, Shie Mannor · 2019
- Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang · 2019
- Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky · 2019
- Entanglement Wedge Reconstruction and the Information Paradox
Geoffrey Penington · 2019
- Towards Neural Decompilation
Omer Katz, Yuval Olshaker, Yoav Goldberg, Eran Yahav · 2019
- Cosmicflows-3: Cosmography of the Local Void
R Brent Tully, Daniel Pomarede, Romain Graziani, Helene M Courtois, Yehuda Hoffman, Edward J Shaya · 2019
- Leaking Information Through Cache LRU States
Wenjie Xiong, Jakub Szefer · 2019
- Approximate encoded permutations and piecewise quantum adders
Craig Gidney · 2019
- Unsupervised Depth Completion from Visual Inertial Odometry
Alex Wong, Xiaohan Fei, Stephanie Tsuei, Stefano Soatto · 2019
- Quantum Gravity from Causal Dynamical Triangulations: A Review
R. Loll · 2019
- High-resolution remote thermography using luminescent low-dimensional tin-halide perovskites
Sergii Yakunin, Bogdan M. Benin, Yevhen Shynkarenko, Olga Nazarenko, Maryna I. Bodnarchuk, Dmitry N. Dirin, Christoph Hofer, Stefano Cattaneo, Maksym V. Kovalenko · 2019
- Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung · 2019
- The entropy of bulk quantum fields and the entanglement wedge of an evaporating black hole
Ahmed Almheiri, Netta Engelhardt, Donald Marolf, Henry Maxfield · 2019
- Low Overhead Instruction Latency Characterization for NVIDIA GPGPUs
Yehia Arafa, Abdel-Hameed Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan Eidenbenz · 2019
- Black holes in the quantum universe
Steven B. Giddings · 2019
- Physics of suction cups in air and in water
A. Tiwari, B. N. J. Persson · 2019
- ConTExT: Leakage-Free Transient Execution
Michael Schwarz, Robert Schilling, Florian Kargl, Moritz Lipp, Claudio Canella, Daniel Gruss · 2019
- Interference of Clocks: A Quantum Twin Paradox
Sina Loriani, Alexander Friedrich, Christian Ufrecht, Fabio Di Pumpo, Stephan Kleinert, Sven Abend, Naceur Gaaloul, Christian Meiners, Christian Schubert, Dorothee Tell, Étienne Wodey, Magdalena Zych, Wolfgang Ertmer, Albert Roura, Dennis Schlippert, Wolfgang P. Schleich, Ernst M. Rasel, Enno Giese · 2019
- FastSpeech: Fast, Robust and Controllable Text to Speech
Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu · 2019
- Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aaron van den Oord · 2019
- Supernova signals of light dark matter
William DeRocco, Peter W. Graham, Daniel Kasen, Gustavo Marques-Tavares, Surjeet Rajendran · 2019
- PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Timothy Bretl, Dieter Fox · 2019
- The Journey is the Reward: Unsupervised Learning of Influential Trajectories
Jonathan Binas, Sherjil Ozair, Yoshua Bengio · 2019